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cs.CV2026
Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation
SangHyuk Kim, Daniel Haehn, Sumientra Rampersad
We present Meta-D, an architecture that explicitly leverages categorical scanner metadata such as MRI sequence and plane orientation to guide feature extraction for brain tumor ana…
cs.CV2025★ 1 cited
MRI Plane Orientation Detection using a Context-Aware 2.5D Model
SangHyuk Kim, Daniel Haehn, Sumientra Rampersad
Humans can easily identify anatomical planes (axial, coronal, and sagittal) on a 2D MRI slice, but automated systems struggle with this task. Missing plane orientation metadata can…